Fall 2025
Barnard College
Instructor: Prof. Eysa Lee
TAs:
Computing Fellows:
Lectures: Mon/Wed 11:40 AM - 12:55 PM, Diana Center 504
Labs:
Office Hours:
Jupyter Hub: https://bccoms-1016-lee-20253.hub.cuit.columbia.edu/ (login required)
Class Discussion Forum: EdStem (login required)
Courseworks: Lecture (1016) and Lab (1017) (login required)
Syllabus: Link
Python Resources:
Data8 Python Reference: https://www.data8.org/fa24/reference/
DataScience Python Library Developer Documentation: https://www.data8.org/datascience/
Data8 Textbook: https://inferentialthinking.com/chapters/intro.html
The schedule below will be updated as the course progresses.
| Week | Date | Topic | Lab | Assignment |
|---|---|---|---|---|
| 1 | 9/3 | 1 - Introduction
Slides |
||
| 2 | 9/8 | 2 - Cause and Effect
Slides |
||
| 9/10 | 3 - Intro to Python: Part 1
Slides lec03-type-exercise.ipynb |
Lab 1 - Expressions (Due 9/12)
Courseworks |
||
| 3 | 9/15 | 4 - Intro to Python: Arrays and Tables
Slides lec04-tables-complete.ipynb, skyscrapers.csv, degrees-that-pay-back.csv |
HW1 - Arrays and Tables (Due 9/24)
Courseworks |
|
| 9/17 | 5 - Tables and Charts
Slides lec05-student-activity.ipynb, chess_games.csv, netflix.csv, actors.csv, world-population-growth.csv |
Lab 2 - Table Operations (Due 9/19)
Courseworks |
||
| 4 | 9/22 | 6 - Charts and Histograms
Slides lec06-demo.ipynb, movie_ticket_price.csv |
HW2 - Table Manipulation and Visualization (Due 10/1)
Courseworks |
|
| 9/24 | 7 - Histograms
Slides lec07-demo.ipynb, lec07-complete.ipynb |
Lab 3 - Data Types and Arrays (Due 9/26)
Courseworks |
HW1 Due | |
| 5 | 9/29 | 8 - Functions, Groups, Pivots, and Joins
Slides lec08-demo.ipynb |
HW3 - Functions, Tables, and Groups (Due 10/8)
Courseworks |
|
| 10/1 |
9 - Conditionals and Iteration
Slides lec9-demo.ipynb, lec9-complete.ipynb |
Lab 4 - Functions and Visualizations (Due 10/3)
Courseworks |
HW2 Due | |
| 6 | 10/6 |
10 - Simulation and Probability
Slides lec10-demo.ipynb, lec10-complete-ish.ipynb |
HW4 - Probability, Simulation, Estimation (Due 10/17, extended from 10/15)
Courseworks |
|
| 10/8 |
11 - Sampling, Distributions and Models
Slides lec11-demo.ipynb, lec11-complete-ish.ipynb |
Lab 5 - Simulations (Due 10/10)
Courseworks |
HW3 Due | |
| 7 | 10/13 |
Programming/Python Review
Slides midterm-review.ipynb midterm-review-complete.ipynb |
||
| 10/15 | Midterm Review | No Lab | HW4 Due FRIDAY (extended from Wednesday) | |
| 8 | 10/20 | Midterm Exam | ||
| 10/22 | Special Topics - Bias in AI | No Lab | ||
| 9 | 10/27 |
12 - Hypothesis Testing
Slides lec12-starter.ipynb |
HW5 - Testing Hypotheses (Due Nov 5)
Courseworks |
|
| 10/29 | 13 - Statistical Significance
Slides lec13-starter.ipynb |
Lab 6 - Examining the Therapeutic Touch (Due 10/31)
Courseworks |
||
| 10 | 11/3 | No Class (Academic Holiday) | HW6 - Confidence Intervals (Due 11/17, extended from 11/12) Courseworks |
|
| 11/5 | 14 - A/B Testing
Slides lec14-starter.ipynb |
Lab 7 (Due 11/7) Courseworks |
HW5 Due
Project Group Sign-up by Friday, Nov 7 (Individual or Group) |
|
| 11 | 11/10 | 15 - Confidence Intervals
Slides lec15-starter.ipynb |
HW 7 - Sample Sizes and Confidence Intervals (Due 11/24) Courseworks |
|
| 11/12 | 16 - Normal Distribution Slides lec16-starter.ipynb |
Lab 8 (Due 11/14) Courseworks |
||
| 12 | 11/17 | 17 - Central Limit Theorem Slides lec17-starter.ipynb |
HW 8 - Linear Regression (Due 12/1) HW6 Due (extended from 11/12) |
|
| 11/19 | 18 - Correlation and Linear Regression Slides lec18-starter.ipynb |
Lab 9 (Due 11/21) Courseworks |
Final Project Proposal Due (Extended from Friday, Nov 14) (Template) | |
| 13 | 11/24 | 19 - Least Squares & Residuals
Slides lec19-starter.ipynb |
HW 9 Released (Due 12/8) HW 7 Due |
|
| 11/26 | No Class (Holiday) | No Lab | ||
| 14 | 12/1 | 20 - Regression Inference and Classification
Slides |
HW 8 Due | |
| 12/3 | Computing Fellows Workshop - Data Ethics | Lab - Final Project Consultations | Final Project Progress Report Due Friday, Dec 5 (previously Dec 1) | |
| 15 | 12/8 | Special Topics - Data Privacy | HW 9 Due Final Project Report Due Friday |